Triple

T8617889
Position Surface form Disambiguated ID Type / Status
Subject State Road A1A E204086 entity
Predicate routeNumber P1864 FINISHED
Object A1A
A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
 E746732 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A1A | Statement: [State Road A1A, routeNumber, A1A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A1A
Context triple: [State Road A1A, routeNumber, A1A]
  • A. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. 1A
    1A is a state highway designation used for several alternate or auxiliary routes of U.S. Route 1 in Massachusetts.
  • E. A1(M)
    A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A1A
Triple: [State Road A1A, routeNumber, A1A]
Generated description
A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A1A
Target entity description: A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
  • A. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. 1A
    1A is a state highway designation used for several alternate or auxiliary routes of U.S. Route 1 in Massachusetts.
  • E. A1(M)
    A1(M) is a series of motorway-standard sections in England that upgrade parts of the historic A1 route between London and the North.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbcb910881909088da53c6e31ae3 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:26 p.m.